Software/Database Development

Providing database development is an approach for efficient business management system of any company. It is possible due to flexibility of various processes that the system provides viz. data retrieval, storage, manipulation and so on. The Anstad Group is following the same route. We have devoted our client-server, web-based applications and also development process simply by initiating data structuring. Largely our company processed advantages that databases would have generally granted. In this way The Anstad Group could find no difficulty in providing clients with resourceful and scalable solutions that would obviously suit to the needs of business dealings of contemporary society.

The Anstad Group, in other words, has experience with databases namely ORACLE, SYBASE, DB2, mySQL, SQL Server.

Now at this moment throwing light on the above-mentioned databases becomes imperative.

ORACLE: Oracle Database, commonly known as Oracle RDBMS or simply Oracle, is a relational database management system (RDBMS) that is produced and marketed by Oracle Corporation.

SYBASE: Sybase Inc. exclusively focused on managing and assembling information.

MySQL is a relational database management system (RDBMS) that has over eleven million installations. The program runs as a server thereby providing multi-user access to a number of databases.

Microsoft SQL Server is a relational database management system (RDBMS) that has been produced by Microsoft. Its key query language is Transact-SQL, an implementation of the ANSI/ISO standard Structured Query Language (SQL) used by both Microsoft and Sybase.

DB2 is one of IBM's families of relational database management system (RDBMS) software products within IBM's broader Information Management Software line.

In order to ensure successful running of the databases The Anstad Group ensures proper utilization of technologies like Java, J2EE, JSP, PHP, C#, ASP.Net.

In nutshell, our company provides Database Development services. To name a few are investigation and planning; data modeling; work flow and user analysis; capacity strategy; Interface Design; Migration of Legacy Systems and Data; Post-Implementation Review.